Multi-energy load forecasting for small-sample integrated energy systems based on neural network Gaussian process and multi-task learning

Yi Cai; Hongyi Zhan; Mao Yang; Wei Zhang

doi:10.1016/j.enconman.2024.119027

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Multi-energy load forecasting for small-sample integrated energy systems based on neural network Gaussian process and multi-task learning

Wei Zhang Yi Cai Hongyi Zhan Mao Yang Wei Zhang

Year: 2024 Journal: Energy Conversion and Management Vol: 321 Pages: 119027-119027 Publisher: Elsevier BV

DOI: 10.1016/j.enconman.2024.119027

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Keywords:

Artificial neural network Task (project management) Energy (signal processing) Process (computing) Gaussian process Sample (material) Computer science Gaussian Artificial intelligence Machine learning Industrial engineering Engineering Systems engineering Mathematics Statistics Physics

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Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Grey System Theory Applications

Social Sciences → Decision Sciences → Management Science and Operations Research

Smart Grid and Power Systems

Physical Sciences → Engineering → Electrical and Electronic Engineering

Multi-energy load forecasting for small-sample integrated energy systems based on neural network Gaussian process and multi-task learning

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